Publications

2022

  • INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering

    Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng

    Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)

    [ Paper ] [ Code ] [ Video ] [ Doc ]

  • PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction

    Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng

    Proceedings of the 31st International Conference on World Wide Web Companion (WWW 2022 Companion)

    [ Paper ] [ Code ] [ Poster ]

  • Conditional GANs with Auxiliary Discriminative Classifier

    Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng

    Proceedings of the 39th International Conference on Machine Learning (ICML 2022)

    [ Paper ] [ Code ]

  • Survey on Graph Classification（图分类研究综述）

    Zhaohui Wang, Huawei Shen, Qi Cao, Xueqi Cheng

    Journal of Software（软件学报，2022）

    [ Paper ]

2021

  • Single Node Injection Attack against Graph Neural Networks

    Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng

    Proceedings of the 30th International Conference on Information and Knowledge Management (CIKM 2021)

    [ Paper ] [ Code ]

  • Learning Diffusion Model-free and Efficient Influence Function for Influence Maximization from Information Cascades

    Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng

    Knowledge and Information Systems (KAIS 2021)

    [ Paper ]

  • Adversarial Immunization for Certifiable Robustness on Graphs

    Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng

    Proceedings of the 14th ACM International Conference on Web Search and Data Mining

    [ Paper ] [ Code ] [ Video ]

  • Signed Bipartite Graph Neural Networks

    Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng

    Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)

    [ Paper ] [ Code ]

  • Self-Supervised GANs with Label Augmentation

    Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng

    Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

    [ Paper ] [ Code ]

  • How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising

    Junjie Huang, Huawei Shen, Qi Cao, Cai Li, Xueqi Cheng

    Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM 2021)

    [ Paper ]

  • Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field

    Bingbing Xu, Huawei Shen, Bingjie Sun, Rong An, Qi Cao, Xueqi Cheng

    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021)

    [ Paper ]

  • Survey on Deep Learning Based Popularity Prediction（基于深度学习的流行度预测研究综述）

    Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng

    Journal of Chineses Information Processing（中文信息学报，2021）

    [ Paper ]

2020

  • Popularity Prediction on Social Platforms with Coupled Graph Neural Networks

    Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng

    Proceedings of the 13th International Conference on Web Search and Data Mining (WSDM 2020)

    [ Paper ] [ Code ] [ Poster ] [ Ppt ] [ Video ]

  • GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks

    Rong Yan, Huawei Shen, Cao Qi, Keting Cen, Li Wang

    Proceedings of the IEEE International Conference on Big Data and Smart Computing (BigComp 2020, Best Paper Award)

    [ Paper ]

2019

  • Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias

    Jiangli Shao, Huawei Shen, Qi Cao, and Xueqi Cheng

    Proceedings of the 25th China Conference Information Retrieval (CCIR 2019)

    [ Paper ]

  • Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning

    Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, XueqiCheng

    Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

    [ Paper ] [ Code ]

  • Graph Wavelet Neural Network

    Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng

    Proceedings of the International Conference on Learning Representations (ICLR 2019)

    [ Paper ] [ Code ]

2017

  • DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

    Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng

    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM 2017)

    [ Paper ] [ Code ]

  • Predicting the Popularity of Online Content with Group-specific Models

    Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng

    Proceedings of the 26th International Conference on World Wide Web Companion (WWW 2017 Companion)

    [ Paper ]